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Analysis of complexity and dynamic functional connectivity based on resting-state EEG in early Parkinson’s disease patients with mild cognitive impairment
Cognitive Neurodynamics ( IF 3.1 ) Pub Date : 2021-09-12 , DOI: 10.1007/s11571-021-09722-w
Guosheng Yi 1 , Liufang Wang 1 , Chunguang Chu 1 , Chen Liu 1 , Xiaodong Zhu 2 , Xiao Shen 2 , Zhen Li 2 , Fei Wang 2 , Manyi Yang 3 , Jiang Wang 1
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To explore the abnormal brain activity of early Parkinson’s disease with mild cognitive impairment (ePD-MCI) patients, the study analyzed the dynamic fluctuation of electroencephalogram (EEG) signals and the dynamic change of information communication between EEG signals of ePD-MCI patients. In this study, we recorded resting-state EEG signals of 30 ePD-MCI patients and 37 early Parkinson’s disease without mild cognitive impairment (ePD-nMCI) patients. First, we analyzed the difference of the complexity of EEG signals between the two groups. And we found that the complexity in the ePD-MCI group was significantly higher than that in the ePD-nMCI group. Then, by analyzing the dynamic functional network (DFN) topology based on the optimal sliding-window, we found that the temporal correlation coefficients of ePD-MCI patients were lower in the delta and theta bands than those in the ePD-nMCI patients. The temporal characteristic path length of ePD-MCI patients in the alpha band was higher than that of ePD-nMCI patients. In the theta and alpha bands, the temporal small world degrees of ePD-MCI patients were lower than that of patients with ePD-nMCI. In addition, the functional connectivity strength of ePD-MCI patients affected by cognitive impairment was weaker than that of ePD-nMCI patients, and the stability of dynamic functional connectivity network was decreased. This finding may serve as a biomarker to identify ePD-MCI and contribute to the early intervention treatment of ePD-MCI.



中文翻译:

基于静息态脑电图的早期帕金森病伴轻度认知障碍患者的复杂性和动态功能连接分析

为探究早期伴有轻度认知障碍的帕金森病(ePD-MCI)患者的大脑活动异常,该研究分析了ePD-MCI患者脑电图(EEG)信号的动态波动以及EEG信号间信息交流的动态变化。在这项研究中,我们记录了 30 名 ePD-MCI 患者和 37 名没有轻度认知障碍 (ePD-nMCI) 的早期帕金森病患者的静息态 EEG 信号。首先,我们分析了两组脑电信号复杂度的差异。并且我们发现 ePD-MCI 组的复杂性明显高于 ePD-nMCI 组。然后,通过分析基于最优滑动窗口的动态功能网络(DFN)拓扑,我们发现 ePD-MCI 患者的时间相关系数在 delta 和 theta 波段低于 ePD-nMCI 患者。ePD-MCI 患者在 alpha 波段的时间特征路径长度高于 ePD-nMCI 患者。在 theta 和 alpha 波段,ePD-MCI 患者的时间小世界度低于 ePD-nMCI 患者。此外,受认知障碍影响的ePD-MCI患者的功能连接强度弱于ePD-nMCI患者,动态功能连接网络的稳定性下降。这一发现可作为识别ePD-MCI的生物标志物,有助于ePD-MCI的早期干预治疗。ePD-MCI 患者在 alpha 波段的时间特征路径长度高于 ePD-nMCI 患者。在 theta 和 alpha 波段,ePD-MCI 患者的时间小世界度低于 ePD-nMCI 患者。此外,受认知障碍影响的ePD-MCI患者的功能连接强度弱于ePD-nMCI患者,动态功能连接网络的稳定性下降。这一发现可作为识别ePD-MCI的生物标志物,有助于ePD-MCI的早期干预治疗。ePD-MCI 患者在 alpha 波段的时间特征路径长度高于 ePD-nMCI 患者。在 theta 和 alpha 波段,ePD-MCI 患者的时间小世界度低于 ePD-nMCI 患者。此外,受认知障碍影响的ePD-MCI患者的功能连接强度弱于ePD-nMCI患者,动态功能连接网络的稳定性下降。这一发现可作为识别ePD-MCI的生物标志物,有助于ePD-MCI的早期干预治疗。受认知障碍影响的ePD-MCI患者的功能连接强度弱于ePD-nMCI患者,动态功能连接网络的稳定性下降。这一发现可作为识别ePD-MCI的生物标志物,有助于ePD-MCI的早期干预治疗。受认知障碍影响的ePD-MCI患者的功能连接强度弱于ePD-nMCI患者,动态功能连接网络的稳定性下降。这一发现可作为识别ePD-MCI的生物标志物,有助于ePD-MCI的早期干预治疗。

更新日期:2021-09-12
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